Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method for presenting statistical analysis findings in a natural language textual output, the computer-implemented method employing a processor and comprising: providing pre-established plain language descriptive text; providing a plurality of pre-established statistical analysis types, wherein the analysis types include at least one of inferential statistical analyses, non-parametric analysis, data mining analyses (association rules, neural networks, generalized additive models, classification and regression trees, predictive models, CHAID models, cluster analyses, data reduction, classification models), supervised and unsupervised models, time series models, structural equation models, medical informatics, bioinformatics, and fraud detection models; selecting at least one of the plurality of pre-established statistical analysis types; aligning the at least one of the plurality of pre-established statistical analysis types with at least a portion of the pre-established plain language descriptive text; receiving data to be analyzed by the processor through a secure login module, wherein the data comprises at least one of numerals and parameters; organizing the data to permit the data to be analyzed in accordance with the selected pre-established statistical analysis type, thereby providing organized data; processing the organized data according to the selected pre-established statistical analysis type, wherein the processing is performed by a statistical analysis tool for providing processed data and wherein if the data is not statistically appropriate for the selected pre-established statistical type, replacing the pre-established plain language descriptive text with informative text explaining the data is not appropriate for the selected pre-established statistical type; interpreting the processed data by converting the processed data to a pre-determined natural language text, thereby providing interpreted data; using one of the pre-established statistical analysis types, determining whether the interpreted data should be processed with a second pre-established statistical analysis type, wherein the second pre-established statistical analysis type is not the previously selected pre-established statistical type; generating a natural language textual output for the interpreted data according to at least one pre-established rule, the at least one pre-established rule comprising: dynamically merging at least a portion of the pre-established plain language descriptive text with the natural language text using at least one of the pre-established statistical analysis wherein the output may further comprise at least one graphic display, and wherein the graphic display is selected from the group consisting of a table, a chart, and a graph; and providing the natural language textual output in a computer file, wherein a computer displays the natural language textual output in a formatted word processing document.
A computer system automatically generates natural language reports from statistical data. It includes pre-written plain language text snippets and supports various statistical analyses, including inferential statistics, non-parametric methods, data mining (association rules, neural networks, etc.), time series, and fraud detection. The user logs in securely and uploads data containing numbers or parameters. The system organizes this data and selects a statistical analysis type. If the chosen analysis is unsuitable for the data, the system displays informative text explaining why. Otherwise, it processes the data, converts the results into natural language, determines if a second analysis is needed, and creates a report combining pre-written text with the generated language. The output can include tables, charts, or graphs and is saved as a formatted word processing document.
2. A computer-implemented method for presenting statistical analysis in a natural language textual output, the computer-implemented method employing a processor and comprising: receiving data to be analyzed by the processor through a secure login module; processing the data according to at least one of a plurality of pre-established statistical analysis types, thereby providing processed data; interpreting the processed data and converting the processed data to a pre-determined natural language text, thereby providing interpreted data; using one of the pre-established statistical analysis types, determining whether the interpreted data should be processed with a second pre-established statistical analysis type, wherein the second pre-established statistical analysis type is not the pre-established statistical type previously selected used to process the data; generating a natural language textual output for the dynamically interpreted data according to at least one pre-established rule for converting the interpreted data to a natural language textual output; and providing the natural language textual output in a computer file, wherein a computer displays the natural language textual output in a formatted word processing document.
A computer system converts statistical data into natural language reports. The system receives data through a secure login module. It then processes the data using pre-defined statistical analysis types. The processed data is interpreted and converted into natural language text. The system determines if a second statistical analysis should be performed on the interpreted data, using a different analysis type than the first. Finally, the system generates a natural language report based on pre-established rules for converting the interpreted data into text, and saves the report as a formatted word processing document for computer display.
3. The method according to claim 2 , further comprising providing pre-established plain language descriptive text and aligning at least one of a plurality of statistical analysis types with at least a portion of the pre-established plain language descriptive text.
The statistical reporting system described in claim 2, which processes data and generates natural language reports, also incorporates pre-established plain language text. The system aligns various statistical analysis types with portions of this pre-written text, so that the generated reports can combine processed data with explanatory language.
4. The method according to claim 3 , wherein the plurality of pre-established statistical analysis types include at least one of inferential statistical analyses, non-parametric analysis, data mining analyses (association rules, neural networks, generalized additive models, classification and regression trees, predictive models, CHAD models, cluste analyses, data reduction, classification models), supervised and unsupervised models, time series models, structural equation models, medical informatics, bioinformatics, and fraud detection models.
In the statistical reporting system of claim 3, the pre-established statistical analysis types include a variety of methods such as inferential statistical analyses, non-parametric analysis, data mining analyses (association rules, neural networks, generalized additive models, classification and regression trees, predictive models, CHAID models, cluster analyses, data reduction, classification models), supervised and unsupervised models, time series models, structural equation models, medical informatics, bioinformatics, and fraud detection models.
5. The method according to claim 4 , further comprising selecting at least one of the plurality of pre-established statistical analysis types.
In the statistical reporting system described in claim 4, which uses different statistical analyses, the system selects at least one of the available, pre-established statistical analysis types before processing the data.
6. The method according to claim 2 , wherein the data further comprises at least one of numerals and parameters.
In the statistical reporting system of claim 2, the received data, which is processed and converted into a natural language report, contains numerical values and/or parameters.
7. The method according to claim 6 , wherein the data comprises quantitative data.
In the statistical reporting system of claim 6, the data consists of quantitative data, which will be used for statistical processing and subsequent natural language report generation.
8. The method according to claim 6 , wherein the data comprises business data.
In the statistical reporting system of claim 6, the data consists of business data, which will be used for statistical processing and subsequent natural language report generation.
9. The method according to claim 2 , further comprising organizing the data to permit the data to be analyzed in accordance with the at least one of a plurality of pre-established statistical analysis types, thereby providing organized data.
In the statistical reporting system described in claim 2, the system organizes the input data to ensure compatibility with the selected statistical analysis type. This organized data then enables appropriate processing for natural language report generation.
10. The method according to claim 9 , further comprising processing the organized data according to the at least one of a plurality of statistical analysis types.
Using the data organizing feature described in claim 9, the organized data is then processed using the selected statistical analysis type in order to prepare the data for transformation into a natural language report.
11. The method according to claim 2 , wherein the processing is performed by a statistical analysis tool for providing processed data.
In the statistical reporting system of claim 2, the data processing is performed by a dedicated statistical analysis tool, which provides the processed data needed for converting information into natural language.
12. The method according to claim 3 , wherein the at least one pre-established rule further comprises merging at least a portion of the pre-established plain language descriptive text with the pre-determined natural language text.
In the statistical reporting system described in claim 3, the pre-established rule for report generation includes merging portions of the pre-established plain language descriptive text with the pre-determined natural language text that results from processing the data.
13. The method according to claim 2 , wherein the natural language textual output may further comprise at least one graphic display.
In the statistical reporting system of claim 2, the generated natural language report can include graphic displays to better visualize the data insights.
14. The method according to claim 13 , wherein the at least one graphic display is selected from the group consisting of a table, a chart, and a graph.
In the statistical reporting system described in claim 13, the graphic display that can be part of the generated report is chosen from a set of options including tables, charts, and graphs.
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October 17, 2017
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